About this role
Zensar Technologies Limited is seeking an experienced AI Architect to shape the future of our AI ecosystem. You will define and implement multi‑agent orchestration frameworks, build scalable Model Context Protocol (MCP) services, and drive the architectural vision of our internal AI development platform, ensuring high performance, security, and developer productivity across the organization.
- 10+ years of software architecture experience, including 3+ years building production‑grade LLM applications.
- Deep expertise in multi‑agent frameworks such as LangGraph, AutoGen, or CrewAI.
- Hands‑on experience with prompt engineering, Retrieval‑Augmented Generation (RAG) pipelines, and vector databases.
- Proven track record designing or implementing Model Context Protocol (MCP) or similar context‑sharing protocols.
- Strong programming skills in Python, TypeScript, or Go.
- Extensive experience with cloud‑native technologies (AWS/GCP/Azure, Kubernetes, Docker).
- Demonstrated ability to create high‑throughput, low‑latency AI platforms.
- Excellent verbal and written communication; ability to author comprehensive architecture RFCs.
- Leadership experience mentoring engineers and driving cross‑functional technical alignment.
- Bachelor’s or higher degree in Computer Science, Engineering, or a related field.